What about You?

Dalim BasuFBCS CITP CISA CRISC BSc.(Hons)

Chairman, BCS North London Branch

Chairman, BCS Central London Branch

Events Director, ISACA London Chapter

VERSION 3.0

ISACA LONDON CHAPTER EVENT AT KPMG 26TH NOVEMBER 2018

*VIDEO 2A*

Our Cyber Cultural Evolution

ISACA London Chapter event at PwC 6th September 2018

https://www.mckinsey.com/featured-insights/future-of-work

“The future will be characterized by smart devices delivering

increasingly insightful digital services everywhere,” said David

Cearley, Gartner Distinguished Vice President Analyst, at Gartner

2018 Symposium in Orlando, Florida.

“We call this the intelligent digital mesh.”

• Intelligent: How AI is in virtually every existing technology,

and creating entirely new categories.

• Digital: Blending the digital and physical worlds to create an

immersive world.

• Mesh: Exploiting connections between expanding sets of

people, businesses, devices, content and services.

“Trends under each of these three themes are a key ingredient in

driving a continuous innovation process as part of the continuous

next strategy.”

Trend No. 1: Autonomous things

Whether it’s cars, robots or agriculture, autonomous things use AI to perform

tasks traditionally done by humans. The sophistication of the intelligence varies,

but all autonomous things use AI to interact more naturally with their environments.

Autonomous things exist across five types:

• Robotics

• Vehicles

• Drones

• Appliances

• Agents

Those five types occupy four environments: Sea, land, air and digital.

They all operate with varying degrees of capability, coordination and

intelligence. For example, they can span a drone operated in the air with human-

assistance to a farming robot operating completely autonomously in a field.

This paints a broad picture of potential applications, and virtually every

application, service and IoT object will incorporate some form of AI to automate

or augment processes or human actions.

Collaborative autonomous things such as drone swarms will increasingly drive the

future of AI systems.

Trend No. 2: Augmented analytics

Data scientists now have increasing amounts of data to prepare,

analyze and group — and from which to draw conclusions. Given the

amount of data, exploring all possibilities becomes impossible.

This means businesses can miss key insights from hypotheses the data

scientists don’t have the capacity to explore.

Augmented analytics represents a third major wave for data and

analytics capabilities as data scientists use automated algorithms to

explore more hypotheses. Data science and machine learning platforms

have transformed how businesses generate analytics insight.

Augmented analytics identify hidden patterns while removing the

personal bias. Although businesses run the risk of unintentionally inserting

bias into the algorithms, augmented analytics and automated insights will

eventually be embedded into enterprise applications.

Gartner predicts by 2020, more than 40% of data science tasks will be

automated, resulting in increased productivity. Between citizen data

scientists and augmented analytics, data insights will be more broadly

available across the business, including analysts, decision makers and

operational workers.

Trend No. 7: Blockchain

Blockchain is a type of distributed ledger, an expanding chronologically

ordered list of cryptographically signed, irrevocable transactional

records shared by all participants in a network.

Blockchain allows companies to trace a transaction and work with

untrusted parties without the need for a centralized party (i.e. a bank).

This greatly reduces business friction and has applications that began

in finance, but have expanded to government, healthcare,

manufacturing, supply chain and others.

Blockchain could potentially lower costs, reduce transaction settlement

times and improve cash flow. The technology has also given way to a host

of blockchain-inspired solutions that utilize some of the benefits and parts

of blockchain.

Pure blockchain models are immature and can be difficult to scale.

However, businesses should begin evaluating the technology, as blockchain

will create $3.1T in business value by 2030.

Blockchain inspired approaches that do not implement all the tenets of

blockchain deliver near term value but do not provide the promised highly

distributed decentralized consensus models of a pure blockchain.

Trend No. 3: AI-driven development

AI-driven development looks at tools, technologies and best practices for

embedding AI into applications and using AI to create AI-powered tools

for the development process. This trend is evolving along three dimensions:

1. The tools used to build AI-powered solutions are expanding from tools

targeting data scientists (AI infrastructure, AI frameworks and AI platforms)

to tools targeting the professional developer community (AI platforms, AI

services). With these tools the professional developer can infuse AI powered

capabilities and models into an application without involvement of a

professional data scientist.

2. The tools used to build AI-powered solutions are being empowered with

AI-driven capabilities that assist professional developers and automate

tasks related to the development of AI-enhanced solutions. Augmented

analytics, automated testing, automated code generation and automated

solution development will speed the development process and empower a

wider range of users to develop applications.

3. AI-enabled tools are evolving from assisting and automating functions

related to application development (AD) to being enhanced with business

domain expertise and automating activities higher on the AD process stack

(from general development to business solution design).

Trend No. 9: Digital ethics and privacy

Consumers have an growing awareness of the value of their

personal information, and they are increasingly concerned with

how it’s being used by public and private entities. Enterprises that

don’t pay attention are at risk of consumer backlash.

Conversations regarding privacy must be grounded in ethics and trust.

The conversation should move from “Are we compliant?” toward “Are

we doing the right thing?”

Governments are increasingly planning or passing regulations with

which companies must be compliant, and consumers are carefully

guarding or removing information about themselves.

Companies must gain and maintain trust with the customer to succeed,

and they must also follow internal values to ensure customers view

them as trustworthy.

https://www.mckinsey.com/featured-insights/future-of-work

*VIDEO 3A*

AI www.dilbert.com Friday August 03, 2018

https://www.mckinsey.com/featured-insights/future-of-work

’FUTURE OF MOBILITY’ – BCS NLB EVENT 3.4.2019

INTELLIGENT CONNECTIVITY - 5G, AI AND IOT

DR MICHAEL SHORT CBE DIT CHIEF SCIENTIFIC ADVISER

BELOW: ’DRONES & AI’ – BCS NLB EVENT 20.3.2019BEN EVANS [PWC], IAIN BECKINGHAM [CTO, INTEL UK]

Self-driving cars www.dilbert.com Friday January 25, 2019

ISACA LONDON CHAPTER EVENT 6TH SEPTEMBER 2018

'Emerging Technologies, Emerging Risks?

VIDEO 3C

Drones www.dilbert.com Thursday August 04, 2016

Adapted from ‘Making Blockchain Happen’ by Rob Learney, Lead Technologist – Blockchain & DLT, Digital CatapultNLB ‘Blockchain, Cryptocurrency and You’ event, 6.10.2019

dApp Developers(35%)

Service Providers(37%)

Blockchain Builders(13%)

Centralised Applications(15%)

VIDEO 1A

Blockchain & Crypto-Currency www.dilbert.com Friday October 26, 2018

VIDEO 1B

ISACA LONDON CHAPTER EVENT 25TH APRIL 2019

INFORMATION SECURITY EUROPE 2019 EXHIBITION & CONFERENCE, LONDON - SOME TOPICS

Anti-Malware

Application Security

Automation

AI & Machine Learning

Business Continuity

Disaster Recovery

Incident Response

SIEM

Compliance, Audit

Legal Risk, PCI-DSS

Cyber Physical

IoT, SCADA Security

Data Protection

Database Security

Digital Forensics

Fraud Detection

Encryption, PKI

Blockchain, SSH, SSL

Human Factors

Social Engineering

Identity Access Management

Authentication, Biometrics, DRM

Internet Security

Social Media Security

Managed Services

Cloud Security, SaaS

Mobile Security

BYOD, Tablet Security

Network Security

Penetration Testing, Firewalls

Payment Security

eCommerce

Risk Management

Data Management

Education,

Accreditation

Big Data, Analytics

Unified Threat Management

Governance

Cyber Insurance

From ‘Deep Dark Web’ presentation 2nd Nov 2018 at BCS North London Branch by Professor Claudio Cilli, President of ISACA Rome Chapter

DARK WEB – THE INTERNET AND MUCH MUCH MORE

VIDEO 6

EVOLUTION OF CYBERSECURITY THREATS

From ‘Cyber Warfare’ presentation 1st June 2019 at BCS North London Branch by Professor Claudio Cilli, President of ISACA Rome Chapter

Unsophisticated attackers

Criminal Groups

Corporate Espionage

Nation-State Attacks

• Experimentation• Attacked simply because

you are connected to the internet and have evident vulnerabilities

• DDOS Attacks

• Monetization• Attacked because you are

connected to the internet and have information of value

• Insider threat• Financially-motivated• Attacked because of

disgruntled employees and access to intellectual property

• Targeted because of who you are, what you do, and the value of your intellectual property or critical assets

• Politically-motivated

Type

sTr

aits

Glo

bal b

reac

hes

2010 2011 20172013

State-sponsored Cyber attack

110mn customer records

($162mn cost of breach)

77mn player accounts($171mn cost of breach)

3bn email accounts($350mn cost)

76mn records

143 mn credit records($140mn cost)

Billions of computers & smartphones

57 Million records (disclosure after 1

year)

2014

Power grid attack(230K people left without power)

2015 2016

Systemic Cyber Risk –Financial ($81 Million

lost)

2018

Cyber attacks www.dilbert.com Friday June 26, 2015

ISACA LONDON CHAPTER EVENT 26TH NOVEMBER 2018

VIDEO 2B

ADAPTED FROM ‘AI & RPA’ BY SARAH BURNETT – NLB ‘WOMINSPIRATION’ EVENT 2.4.2019

WITH THE TREND FOR AUTOMATION GATHERING PACE, WILL IT MEAN THAT OUR “COLLEAGUES” WILL BE ELECTRIC IN THE FUTURE?

• The answer is yes but

there will also be many

new creative, STEM, and

knowledge-based jobs.

Robots www.dilbert.com Thursday September 07, 2017

Need help? – how about a cyborg?Oxford Dictionary: Cyborg – “A fictional or hypothetical person whose physical abilities are extended beyond normal human limitations by mechanical elements built into the body.”Cambridge Dictionary: Cyborg – “in science fiction stories, a creature that is part human and part machine””

Wider implications – relationships www.dilbert.com Thursday July 04, 2013

What about You?

1. What IT-related advances do you expect 2020-2022?

..in technology, environment, services, skills [incl. ethics, law...]?

Good for society? Or bad?

2. Cyborgs - good or bad?

..Could you be a cyborg?

Blockchain www.dilbert.com Sunday November 03, 2019

VIDEO 1C, 3B, 3D, 4A, 4B, 4C, 5A, 5B